Summary
F Daniş is a researcher and applied academic with 10 years of experience specializing in Bayesian machine learning, Monte Carlo methods, signal processing, indoor positioning and mobile robotics, focused on improving mobility for visually impaired people. Currently at Université Gustave Eiffel and on leave from Galatasaray Üniversitesi as an assistant professor, he combines hands-on research with teaching across AI, signals, and systems courses and applied data analysis programs. His work spans state-space models and particle filters for BLE-based indoor navigation to data-driven smart-cane analytics, reflecting a rare blend of probabilistic inference and practical sensing systems. Trained through MS and PhD work in control and computer engineering at Boğaziçi University, he is open to collaborations that leverage belief networks for robust localization and navigation.
10 years of coding experience
16 years of employment as a software developer
B.S., Computer Engineering, B.S., Computer Engineering at Galatasaray Üniversitesi
Kadıköy Anadolu Lisesi ve Maarif Koleji
PhD., Computer Engineering, PhD., Computer Engineering at Boğaziçi University
Turkish, English, French